Your search found 11 records
1 Loeve, R.; Hong Lin; Dong Bin; Mao, G.; Chen, C. D.; Dawe, D.; Barker, R. 2003. Long term trends in agricultural water productivity and intersectoral water allocations in Zhanghe, Hubei, China and in Kaifeng, Henan, China. In ICID Asian Regional Workshop, Sustainable Development of Water Resources and Management and Operation of Participatory Irrigation Organizations, November 10-12, 2003, The Grand Hotel, Taipei. Vol.1. Taipei, Taiwan: ICID. pp.367-380.
Irrigation water ; Productivity ; Water allocation ; Crop production / China / Zhanghe / Hubei / Kaifeng / Henan
(Location: IWMI-HQ Call no: ICID 631.7.2 G570 ICI Record No: H033358)
2 IWMI. 2004. Growing more rice with less water: Increasing water productivity in rice- based cropping systems: Progress of research, 1 July 2002 to 30 June 2003. Colombo, Sri Lanka: International Water Management Institute (IWMI) vi, 59p. (IWMI Working Paper 065) [doi: https://doi.org/10.3910/2009.197]
Crop-based irrigation ; Rice ; Irrigation canals ; Models ; Groundwater ; Aquifers / China / Australia / Hubei / Henan / Tuanlin
(Location: IWMI-HQ Call no: IWMI 631.7.2 G000 IWM Record No: H035319)
(1232 KB)
3 Loeve, R.; Hong, L.; Dong, B.; Mao, G.; Chen, C. D.; Dawe, D.; Barker, Randolph. 2004. Long-term trends in intersectoral water allocation and crop water productivity in Zhanghe and Kaifeng, China. Paddy and Water Environment, 2:237-245.
Crop production ; Water conservation ; Water allocation ; Productivity / China / Hubei / Henan / Zhanghe / Kaifeng
(Location: IWMI-HQ Call no: IWMI 631.7.2 G592 LOE Record No: H035938)
4 Feng, L.; Bouman, B. A. M.; Tuong, T. P.; Li, Y.; Lu, G.; Cabangon, R. J.; Feng, Y. 2006. Effects of groundwater depth and water-saving irrigation on rice yield and water balance in the Liuyuankou Irrigation System, Henan, China. In Willett, I. R.; Gao, Z. (Eds.) Agricultural water management in China: Proceedings of a workshop held in Beijing, China, 14 September 2005. Canberra, Australia: ACIAR. pp.52-66.
Water conservation ; Groundwater ; Irrigated farming ; Rice ; Simulation models ; Soil water ; Supplemental irrigation ; Water balance ; Irrigation systems / China / Liuyuankou Irrigation System / Henan / Kaifeng / Panlou Village / Yellow River
(Location: IWMI-HQ Call no: 631.7 G592 WIL Record No: H039221)
5 Wang, J.; Huang, J.; Xu, Z.; Rozelle, S.; Hussain, I.; Biltonen, Eric. 2007. Irrigation management reforms in the Yellow River Basin: Implications for water saving and poverty. Irrigation and Drainage, 56:247-259.
Irrigation management ; River basins ; Water conservation ; Water user associations ; Water use ; Models ; Poverty / China / Yellow River Basin / Ningxia / Henan
(Location: IWMI HQ Call no: IWMI 631.7 G592 WAN Record No: H040004)
6 Mi, J.; Huang, J.; Wang, J.; Mukherji, Aditi. 2008. Participants in groundwater markets: who are sellers? Journal of Natural Resources, 23(6):1-12.
Water market ; Groundwater ; Groundwater irrigation ; Tube wells ; Collective ownership ; Private ownership ; Households ; Villages ; Rural areas ; Water table ; Drought ; Surveys ; Farmers ; Income ; Economic analysis ; Econometric models / China / Hebei / Henan / Xian county / Ci county / Yanjin county
(Location: IWMI HQ Call no: e-copy only Record No: H042256)
(0.81 MB)
Few studies have paid attention to the groundwater market in rural China though it has developed rapidly in recent decades. The main objectives of this paper are to describe the main characteristics of participants of rural groundwater market and identify the determinants of selling water. Data used in this research comes from 150 households in two provinces in northern China. Based on our field survey, we find that the farmers with higher wealth, more advantaged in agricultural activity, and higher social position are more likely to be the sellers. Transaction costs also have impacts on participants in the groundwater market.
7 Zuo, Q.; Wu, Q.; Yu, L.; Li, Y.; Fan, Y. 2021. Optimization of uncertain agricultural management considering the framework of water, energy and food. Agricultural Water Management, 253:106907. [doi: https://doi.org/10.1016/j.agwat.2021.106907]
Agricultural production ; Water management ; Water resources ; Energy resources ; Food security ; Nexus ; Surface water ; Water supply ; Resource allocation ; Decision making ; Pesticides ; Fertilizers ; Crops ; Uncertainty ; Models / China / Henan
(Location: IWMI HQ Call no: e-copy only Record No: H050414)
(10.60 MB)
Synergetic development of water, energy and food is prerequisite for coping with issues of increment of global population, deterioration of ecological environment and aggravation of climate change. This study aims to develop a scenario-based type-2 fuzzy interval programming (STFIP) approach for planning agricultural water, energy and food (WEF) as well as crop area management. Uncertainties presented as interval numbers, scenarios and fuzzy sets as well as the dual uncertainties (i.e. interval-scenario and type-2 fuzzy interval) can be effectively tackled by the STFIP method. Then, a STFIP-WEFN model is developed and applied to maximize net agricultural profit with integrated management of productive resources for Henan Province, China. Solutions of different water resources, diverse energy resources and multiple agricultural crops in association with various water supply structures between current situation and future policy orientation are examined. Results disclose that: over the entire planning horizon, a) the total planting area of crops can increase from [129.3, 133.6] × 103 km2 to [132.0, 135.6] × 103 km2 by optimizing resources allocation; b) uncertainties existing in the WEFN system can lead to a change rate of the system benefit by 16.93%; c) the total planting area can increase by [4.00, 6.05] % when the groundwater ratio changes from 40% to 55%. These findings can help effectively optimize the existing planting structure and coordinate the development of Henan Province among water, energy, food, economy, society and environment.
8 Zhang, J.; Zhu, J.; Liu, Y.; Lu, N.; Fang, W. 2022. The economic impact of payments for water-related ecosystem services on protected areas: a synthetic control analysis. Water Resources Management, 36(5):1535-1551. [doi: https://doi.org/10.1007/s11269-022-03099-z]
Payment for Ecosystem Services ; Water resources ; Economic impact ; Economic development ; Economic growth ; Gross national product ; Policies ; Towns ; Case studies / China / Shaanxi / Hubei / Henan / Gansu / Sichuan / Hanzhong / Ankang / Shangluo / Danjiangkou Reservoir
(Location: IWMI HQ Call no: e-copy only Record No: H051072)
(3.30 MB)
Payments for Water-Related Ecosystem Services (PWES) are increasingly popular for promoting water ecological conservation, and their impact on development is of considerable interest. This study estimates the economic impact of PWES on protected areas using the synthetic control method. Taking the Middle Route of the South to North Water Diversion Project in China as a case study, we find that the per capita GDP in protected areas increased markedly relative to synthetic control regions, and PWES had a positive economic impact. Additionally, we conducted many placebo tests to verify the validity and robustness of the results. We believe that the main factor responsible for the positive effect lies in developing the ecological-economic industrial system. This study provides a baseline for synthetic control analysis of PWES to compare regions of interest with their counterfactuals. The case study findings provide reference for the economic development of protected areas.
9 Lv, C.; Jue, Y.; Guo, X.; Ling, M.; Yan, D. 2022. Research on quantification method of water pollution ecological environment losses. AQUA - Water Infrastructure, Ecosystems and Society, 71(6):709-721. [doi: https://doi.org/10.2166/aqua.2022.002]
Water pollution ; Ecological factors ; Environmental factors ; Ecosystem services ; Energy ; Water resources ; Groundwater pollution ; Water quality ; Soil pollution ; Biodiversity ; Models / China / Henan / Kaifeng
(Location: IWMI HQ Call no: e-copy only Record No: H051264)
https://iwaponline.com/aqua/article-pdf/71/6/709/1065275/jws0710709.pdf
https://vlibrary.iwmi.org/pdf/H051264.pdf
https://vlibrary.iwmi.org/pdf/H051264.pdf
(0.75 MB) (764 KB)
Economic and social development have worsened the situation of water pollution and even the ecological environment. It is helpful to quantify the water pollution ecological environment losses for decision-makers to formulate reasonable pollution control plans. However, the current quantitative analyses led by economic methods are not comprehensive and systematic. Therefore, based on the emergy theory and method system of eco-economics, this study analyzed the internal energy flow process of the water-polluted ecosystem, discussed the composition of water-polluted ecological environment loss, and proposed a quantitative model of water-polluted ecological environment loss based on the emergy analysis method. It can reasonably quantify the ecological environment loss caused by water pollution and provide a reference for optimizing regional industrial layout, scientifically formulating pollution control planning, and promoting the sustainable development of the ecosystem. Taking Kaifeng City in Henan Province as an example, the rationality of the model is verified. The results show that the annual average total energy value of water pollution ecological environment loss in Kaifeng City is 3.83 × 1020sej, equivalent to 145 million yuan (0.76) of Kaifeng's gross domestic product (GDP) in 2018.
10 Wu, S.; Deng, L.; Guo, L.; Wu, Y. 2022. Wheat leaf area index prediction using data fusion based on high-resolution unmanned aerial vehicle imagery. Plant Methods, 18:68. [doi: https://doi.org/10.1186/s13007-022-00899-7]
Leaf area index ; Forecasting ; Unmanned aerial vehicles ; Thermal infrared imagery ; Data fusion ; Machine learning ; Estimation ; Wheat ; Vegetation index ; Remote sensing ; Satellites ; Biomass ; Models / China / Henan
(Location: IWMI HQ Call no: e-copy only Record No: H051401)
https://plantmethods.biomedcentral.com/counter/pdf/10.1186/s13007-022-00899-7.pdf
https://vlibrary.iwmi.org/pdf/H051401.pdf
https://vlibrary.iwmi.org/pdf/H051401.pdf
(7.53 MB) (7.53 MB)
Background: Leaf Area Index (LAI) is half of the amount of leaf area per unit horizontal ground surface area. Consequently, accurate vegetation extraction in remote sensing imagery is critical for LAI estimation. However, most studies do not fully exploit the advantages of Unmanned Aerial Vehicle (UAV) imagery with high spatial resolution, such as not removing the background (soil and shadow, etc.). Furthermore, the advancement of multi-sensor synchronous observation and integration technology allows for the simultaneous collection of canopy spectral, structural, and thermal data, making it possible for data fusion.
Methods : To investigate the potential of high-resolution UAV imagery combined with multi-sensor data fusion in LAI estimation. High-resolution UAV imagery was obtained with a multi-sensor integrated MicaSense Altum camera to extract the wheat canopy's spectral, structural, and thermal features. After removing the soil background, all features were fused, and LAI was estimated using Random Forest and Support Vector Machine Regression.
Results: The results show that: (1) the soil background reduced the accuracy of the LAI prediction of wheat, and soil background could be effectively removed by taking advantage of high-resolution UAV imagery. After removing the soil background, the LAI prediction accuracy improved significantly, R2 raised by about 0.27, and RMSE fell by about 0.476. (2) The fusion of multi-sensor synchronous observation data could achieve better accuracy (R2 = 0.815 and RMSE = 1.023), compared with using only one data; (3) A simple LAI prediction method could be found, that is, after selecting a few features by machine learning, high prediction accuracy can be obtained only by simple multiple linear regression (R2 = 0.679 and RMSE = 1.231), providing inspiration for rapid and efficient LAI prediction of wheat.
Conclusions: The method of this study can be transferred to other sites with more extensive areas or similar agriculture structures, which will facilitate agricultural production and management.
Methods : To investigate the potential of high-resolution UAV imagery combined with multi-sensor data fusion in LAI estimation. High-resolution UAV imagery was obtained with a multi-sensor integrated MicaSense Altum camera to extract the wheat canopy's spectral, structural, and thermal features. After removing the soil background, all features were fused, and LAI was estimated using Random Forest and Support Vector Machine Regression.
Results: The results show that: (1) the soil background reduced the accuracy of the LAI prediction of wheat, and soil background could be effectively removed by taking advantage of high-resolution UAV imagery. After removing the soil background, the LAI prediction accuracy improved significantly, R2 raised by about 0.27, and RMSE fell by about 0.476. (2) The fusion of multi-sensor synchronous observation data could achieve better accuracy (R2 = 0.815 and RMSE = 1.023), compared with using only one data; (3) A simple LAI prediction method could be found, that is, after selecting a few features by machine learning, high prediction accuracy can be obtained only by simple multiple linear regression (R2 = 0.679 and RMSE = 1.231), providing inspiration for rapid and efficient LAI prediction of wheat.
Conclusions: The method of this study can be transferred to other sites with more extensive areas or similar agriculture structures, which will facilitate agricultural production and management.
11 Shi, Y.; Yang, S.; Chen, W.; Wang, X.; Feng, C. 2023. Research on the construction of a human-water harmony model in the Yellow River Basin. Water Policy, 25(7):742-757. [doi: https://doi.org/10.2166/wp.2023.130]
Research ; Water resources ; Models ; Water use ; Urbanization ; Indicators ; Economic development ; Pollution / China / Yellow River Basin / Henan
(Location: IWMI HQ Call no: e-copy only Record No: H052066)
https://iwaponline.com/wp/article-pdf/25/7/742/1263850/025070742.pdf
https://vlibrary.iwmi.org/pdf/H052066.pdf
https://vlibrary.iwmi.org/pdf/H052066.pdf
(0.93 MB) (952 KB)
Human-water harmony in the Yellow River Basin has an important influence on promoting ecological protection and high-quality development in the Yellow River Basin. This paper explores the degree of harmony between humans and water in the provinces of the Yellow River Basin. Based on the provincial-level data of nine provinces from 2001 to 2020, a human-water harmonious coupling coordination degree model was constructed, and the spatial and temporal analysis of the coupling coordination characteristics of nine provinces was carried out utilizing ArcGIS software. The results revealed that: (1) From the point of view of human-water harmony, from 2001 to 2020, China's human-water relationship was on the rise, from reluctant coupling coordination to good coupling coordination. (2) Qinghai, Gansu, and Sichuan provinces have the most significant increase in human-water harmony, from on the verge of a dysfunctional decline to quality coupling coordination. (3) From 2001 to 2011, the human system's comprehensive index was inferior to that of the water system's comprehensive index. In 2003, the comprehensive index of human and water systems was the largest. From 2012 to 2020, the human system's comprehensive index was higher than the water system. However, in 2015, the two indices diverged significantly
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